Integrate Mixpanel with Promoter.io
Mixpanel gathers product usage data, including metrics like what features are being used most frequently, the number of active users, and when user engagement rises or drops. It also automatically collects data on all user actions and uses that data to provide a variety of useful insights, such as automatic suggestions for how to improve customer retention and lead acquisition. Since usage data is collected from the start, Mixpanel can also track newly defined metrics using historical data.
Promoter.io generates a Net Promoter Score (NPS) for companies by sending their customers surveys and using the results to segment them into promoters, passives, and detractors. It can also evaluate written customer feedback - assessing it for positivity and negativity - and allow users to add relevant tags to customer responses. Users can then view an analytics dashboard in Promoter.io to track a company’s NPS over time and monitor the emergence of various response trends.
Popular Use Cases
Bring all your Mixpanel data to Amazon Redshift
Load your Mixpanel data to Google BigQuery
ETL all your Mixpanel data to Snowflake
Move your Mixpanel data to MySQL
Bring all your Promoter.io data to Amazon Redshift
Load your Promoter.io data to Google BigQuery
ETL all your Promoter.io data to Snowflake
Move your Promoter.io data to MySQL
Integrate Mixpanel With Promoter.io Today
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Mixpanel's End Points
Get any or all raw event data that has been collected by Mixpanel, including what events have occurred, when they happened, and any relevant properties about those events. Then, integrate this raw data with other data sources to get new or deeper usage analytics.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather event data that is filtered into segments by an array of properties, such as date range, country, and specific search terms. Then, use that filtered data to get deeper, more detailed analytics into your product performance.
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, you can feed that data into your analytics to provide a more comprehensive view of your retention trends over time.
Promoter.io's End Points
Create or retrieve data about a contact, including their name, contact ID, email, and any attributes that have been assigned to them. Then, use those attributes to filter your NPS analytics so that they show company performance within a more specific set of parameters.
Set up an email campaign on Promoter.io by providing the name of the campaign, the dates it will run, and the contact list the campaign is being sent to. Then, specify whether to survey the entire contact list or only contacts that haven’t been surveyed yet. This will allow you to create specialized campaigns for the new recipients on your lists.
Retrieve customer feedback that Promoter.io has collected, including the contact information for the respondee, the score they chose, any comments they left, and whether those comments are positive or negative.
Create or modify a list of recipients that you wish to survey. You can choose to allow Promoter.io to automatically add contacts as you survey them, or you can integrate Promoter.io with an existing contact list that you wish to survey.
Personalize the email templates used for your survey campaigns by branding them with your logo, writing introductions to the survey questions, or specifying what products or companies the surveys are for.